GNGTS 2024 - Atti del 42° Convegno Nazionale

Session 2.2 GNGTS 2024 Concerning conCnuous ambient noise data streams, 24-hour mini-seed recording signals are analyzed at each selected staCon to set empirical thresholds considering data metrics and data availability. The goal is to build a staCon-quality archive. Users can select and build the Cme history for each network, staCon, stream data type, and single ground moCon component related to selected input data included in a local mini-seed data archive represenCng the starCng point of the procedure. Data metrics are evaluated considering RMS (Root Mean Square, Bormann, 2012) and PSD (Power Spectral Density, Bormann, 2012) in several frequency intervals (i.e., 0.01-0.1; 0.1-1; 1-5; 5-10; 10-20; 20:50 Hz). For availability, the graphs show the results in terms of daily %gap, maximum daily availability, sum of the Cme gaps, and maximum duraCon of the maximum daily gap. Daily results are represented by staCc images related to the 24 hours of the data selected at each target staCon. Daily results include the PDF (Probability Density FuncCon, McNamara and Buland, 2004), the frequency-dependent PSD, the comparison between RMS and PSD variaCons, Cme histories, and spectrograms. SDQ provides final summary tables for both earthquake and conCnuous data, collecCng all relevant parameters for each processed waveform and data stream, along with explanatory text files (log and warning files), allowing the user to beber evaluate the results. Although SDQ is currently under development, the release presented and discussed in this work is uploaded to the INGV GitLab plaïorm and is available at: hbps://gitlab.rm.ingv.it/ EIDA/quality/sdq. References Bormann P.; 2012: New manual of seismological observatory pracCce (NMSOP-2). IASPEI, GFZ Ger. Research Centre for Geosciences. Danecek P., Pintore S., Mazza S., Mandiello A., Fares M., Carluccio I., ... & Michelini A.; 2021. The Italian node of the European integrated data archive. Seismological Research Lesers , 92 (3), 1726-1737. Massa M., Scafidi D., Mascandola C., & Lorenzem A.; 2022: Introducing ISMDq - A web portal for real-Cme quality monitoring of italian strong-moCon data. Seismological Research Lesers , 93 (1), 241-256. McNamara D. E., and R. P. Buland; 2004: Ambient noise levels in the conCnental United States, Bull. Seismol. Soc. Am. 94, no. 4, 1517–1527. Varcheba F., Massa M., Puglia R., Danecek P., Rao S., Mandiello A., Piccinini D.; 2023: SDQ: a python-based open-source to improving data quality check of the INGV Italian Seismic Network, Rappor9 Tecnici INGV (in revisione). Corresponding author: fabio.varcheba@ingv.it